Noga Zaslavsky is a PhD candidate at the ELSC center for brain sciences at the Hebrew University of Jerusalem, under the supervision of Naftali Tishby. She is currently a visiting student researcher at UC Berkeley, hosted by Terry Regier. Her main research interest is to understand high-level cognitive functions from first principles, using fundamental ideas and methods from machine learning and information theory. In particular, she is interested in principles that can account for the ability to maintain efficient representations for learning and communication in complex environments. She is a recipient of the IBM PhD Fellowship Award for 2016-2017, and holds a BSc (magna cum laude) in computer science and cognitive science from the Hebrew University.